Reasoning Under Uncertainty

Development of mathematical reasoning skills for problems that involve uncertainty. Counting and probability, probabilistic reasoning, Naive Bayes classifiers, Monte Carlo simulation, Markov chains, Markov decision processes, classical game theory, and introduction to information theory.

Problem Solving w/Internet

Basic skills needed to use the Internet. Web browsers, search strategies, basic Web page design, client-side and server-side programming, and cryptography. Malware and viruses, e-mail management and etiquette. Web-site management through UNIX commands, ftp file transfers, telnet sessions. Relevant and timely social, technical, and political topics. Not intended for Computer Science majors. Programming experience not required. Prerequisites: some hands-on experience with PCs or MACs or UNIX. (Gen.Ed. R2)

Software Engineering

In this course, students learn and gain practical experience with software engineering principles and techniques. The practical experience centers on a semester-long team project in which a software development project is carried through all the stages of the software life cycle. Topics in this course include requirements analysis, specification, design, abstraction, programming style, testing, maintenance, communication, teamwork, and software project management. Particular emphasis is placed on communication and negotiation skills and on designing and developing maintainable software.

S-Theory of Computation

The theory seminar is a weekly meeting in which topics of interest in the theory of computation - broadly construed - are presented. This is sometimes new research by visitors or local people. It is sometimes work in progress, and it is sometimes recent material of others that some of us present in order to learn and share. This is a one-credit seminar which may be taken repeatedly for credit. May be repeated for credit up to six times.
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